In case you have acquired your skills in alternative ways your application is just as well appreciated. What else do I need to know? Siemens is dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.

At Toyota Research Institute (TRI), we're working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We're dedicated to building a world of "mobility for all" where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies.

The Distributed Information Systems Laboratory (LSIR) headed by Prof. Karl Aberer at EPFL in Lausanne is currently looking for a software engineer with experience in Web development and Data Science. If you are interested in being at the crossroad of Web technologies, Machine learning and Computational Journalism, this job is for you. You will join our research team. Our goal is to develop a web platform to collect news articles from all around the world and to analyze the media landscape in real-time. You will be in charge of the Web platform development and will help us integrating some of the algorithms developed by our researchers.

The Distributed Information Systems Laboratory (LSIR) headed by Prof. Karl Aberer at EPFL in Lausanne is currently looking for a software engineer with experience in Web development and Data Science. If you are interested in being at the crossroad of Web technologies, Machine learning and Computational Journalism, this job is for you. You will join our research team. Our goal is to develop a web platform to collect news articles from all around the world and to analyze the media landscape in real-time. You will be in charge of the Web platform development and will help us integrating some of the algorithms developed by our researchers.

Ability to speak at a level appropriate for the audience.

Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15.